Clinical decision support systems (CDSS) are low‐cost, scalable tools with the potential to improve guideline‐based antihypertensive treatment in primary care, but their effectiveness needs to be tested, especially in low‐ and middle‐income countries.
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Get it written →I would like guidance to complete this question which is due on Sunday at midnight. I attached the temple for the outline. I also included the introduction for the essay (which is due next Thursday). APA format and we use a software called turitin to avoid plagiarism. Please keep that in mind. Also, all articles should be within the last 5 years. Thank you in advance.
Introduction: One technology application used in health care to facilitate decision making.
The application’s impact on quality of decision making.
Clinical decision support systems (CDSS) are low‐cost, scalable tools with the potential to improve guideline‐based antihypertensive treatment in primary care, but their effectiveness needs to be tested, especially in low‐ and middle‐income countries.
Early detection of sepsis followed promptly by treatment initiation improves patient outcomes and saves lives. Hospitals are increasingly using computerized clinical decision support (CCDS) systems for the rapid identification of adult patients with sepsis.
The process for selecting and implementing the application.
References
Abell, B., Naicker, S., Rodwell, D., Donovan, T., Tariq, A., Baysari, M., Blythe, R., Parsons, R., & McPhail, S. M. (2023). Identifying barriers and facilitators to successful implementation of computerized clinical decision support systems in hospitals: a NASSS framework-informed scoping review. Implementation Science, 18(1), 1–20.
Ackermann, K., Baker, J., Green, M., Fullick, M., Varinli, H., Westbrook, J., & Li, L. (2022). Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Adult Inpatients: Scoping Review. Journal of Medical Internet Research, 24(2), e31083.
Héctor Acosta-García, Ingrid Ferrer-López, Juan Ruano-Ruiz, Bernardo Santos-Ramos, & Teresa Molina-López. (2022). Computerized clinical decision support systems for prescribing in primary care: main characteristics and implementation impact—protocol of an evidence and gap map. Systematic Reviews, 11(1), 1–6.
Song, J., Wang, X., Wang, B., Gao, Y., Liu, J., Zhang, H., Li, X., Li, J., Wang, J.-G., Cai, J., Herrin, J., Armitage, J., Krumholz, H. M., & Zheng, X. (2022). Effectiveness of a clinical decision support system for hypertension management in primary care: study protocol for a pragmatic cluster-randomized controlled trial. Trials, 23(1), 412.
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